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Calibrar Filizola Pl 150

Published online 2009 May 28. doi: 10.2174/1875397300903010022
  1. Calibrar Filizola Pl 150 2016
PMID: 20161833

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Calibrar filizola pl 150 2016
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Abstract

HTRF (Homogeneous Time Resolved Fluorescence) is the most frequently used generic assay technology to measure analytes in a homogenous format, which is the ideal platform used for drug target studies in high-throughput screening (HTS). This technology combines fluorescence resonance energy transfer technology (FRET) with time-resolved measurement (TR). In TR-FRET assays, a signal is generated through fluorescent resonance energy transfer between a donor and an acceptor molecule when in close proximity to each other. Buffer and media interference is dramatically reduced by dual-wavelength detection, and the final signal is proportional to the extent of product formation. The HTRF assay is usually sensitive and robust that can be miniaturized into the 384 and 1536-well plate formats. This assay technology has been applied to many antibody-based assays including GPCR signaling (cAMP and IP-One), kinases, cytokines and biomarkers, bioprocess (antibody and protein production), as well as the assays for protein-protein, proteinpeptide, and protein-DNA/RNA interactions.

Since its introduction to the drug-screening world over ten years ago, researchers have used HTRF to expedite the study of GPCRs, kinases, new biomarkers, protein-protein interactions, and other targets of interest. HTRF has also been utilized as an alternative method for bioprocess monitoring. The first-generation HTRF technology, which uses Europium cryptate as a fluorescence donor to monitor reactions between biomolecules, was extended in 2008 through the introduction of a second-generation donor, Terbium cryptate (Tb), enhancing screening performance. Terbium cryptate possesses different photophysical properties compared to Europium, including increased quantum yield and a higher molar extinction coefficient. In addition to being compatible with the same acceptor fluorophors used with Europium, it can serve as a donor fluorophore to green-emitting fluors because it has multiple emission peaks including one at 490 nm. Moreover, all Terbium HTRF assays can be read on the same HTRF-compatible instruments as Europium HTRF assays.

Overall, HTRF is a highly sensitive, robust technology for the detection of molecular interactions in vitro and is widely used for primary and secondary screening phases of drug development. This review addresses the general principles of HTRF and its current applications in drug discovery.

Keywords: HTRF, TR-FRET, GPCR, Kinase, Biomarker, Bioprocess.

INTRODUCTION

Utilizing rare-earth lanthanides with long emission half-lives as donor fluorophores, HTRF technology combines standard FRET with the time resolved measurement (TR) of fluorescence [,]. This powerful combination provides significant benefits to drug discovery researchers in high throughput screening (HTS), including assay flexibility, reliability, increased assay sensitivity, higher throughput, and fewer false positive/false negative results. These features, allied with automated liquid handling and robust detection instrumentation, allow for a broad range of applications in HTS.

The principle behind FRET is based on the transfer of energy between two fluorophores, a donor (long-lived fluorescence) and an acceptor (short-lived fluorescence), when in close proximity [,]. Molecular interactions between biomolecules can be assessed by coupling each partner with a fluorescent label and detecting the level of energy transfer (Fig. 11). In the past, organic fluorescent compounds such as fluorescein and rhodamine have been widely used in the regular fluorescence assay. However, these bioassays have great disadvantages in that fluorescent detection because it is dramatically inhibited by noise in the back ground derived from scattered excitation light and significantly interfered by fluorescence from coexisting material in the sample (fluorescent compounds and dust/line), making it difficult to obtain a highly sensitive measurement. Through time-resolved measurement of fluorescence, HTRF allows the elimination of short-lived background fluorescence. Introducing a time delay (50-150 microseconds) between the initial light excitation and fluorescence measurement minimizes the contribution of all non-specific short-lived fluorescence emissions. In contrast, HTRF acceptor fluorophores emit long-lived fluorescence when engaged in the TR-FRET process with a long-lived donor fluorophore, signifying energy transfer through proximity of the labeled biomolecules (Fig. 22).

The general principle of fluorescence resonance energy transfer technology (FRET). When the donor and acceptor apart, there is no FRET signal. Once they are brought in proximity, the FRET signals are generated (for example, the emission spectrum at 665 nm).

The energy pulse from the excitation source (flash lamp, laser) is followed by a time delay, allowing interfering short-lived fluorescence (compounds, proteins, medium etc.) to decay. The red line: FRET signal intensity generated at 665 nm; black line, emission of donor cryptate at 620 nm; orange line, fluorescent signal generated from acceptor fluorophores.

Four specific fluorophores are used in HTRF forming different TR-FRET systems. The central element, the energy donor, is either Europium cryptate (Eu3+ cryptate) (Fig. 3a3a) [5] or Lumi4-Tb (Tb2+ cryptate) (unpublished structure) (Fig. 3b3b). These rare earth complexes, based on the work from Nobel Prize laureate, Professor Jean-Marie Lehn, and from Professor Raymond respectively, have a macrocycle within which a Eu3+ ion or Tb2+ is tightly embedded. These ions are not fluorescent on their own; they need a light-collection device (i.e. the cage) to be excited. Similar to functions of the chelate in other luminescent lanthanide technologies, this cage acts as an antenna and allows both energy collection and transfer to the ions, which ultimately releases this energy with a specific fluorescent pattern. In particular, these cryptates are not subject to the photo-bleaching that affects a number of more conventional fluorophores, and the ions are almost inseparable from their macrocycles [5]. However, due to the unique caged structure, the kinetics stability of the cryptate is extremely higher than the one of those lanthanide chelates []. Rare earth chelates would be dissociated and unstable in acidic media or in the presence of divalent ions like Mn2+, while rare earth cryptates are extraordinarily stable under wide range of chemical conditions, like reverse phase chromatography in the presence of trifluoroacetic acid, and are not affected by the presence of divalent ions in the media []. It therefore allows for enhanced assay performance in terms of sensitivity, assay window, and robustness, without compromising the features and benefits that HTRF brings to assays: a ‘mix and measure’ non-radioactive format, miniaturizable to uHTS formats, showing excellent robustness and a low compound interference rate (Fig. 33). Lumi4-Tb’s structure, a lanthanide tightly embedded in a surrounding macrocycle, remains very much in line with that of previous HTRF cryptates and shows superior stability compared to other Terbium complexes. Terbium is exceptionally bright – 10 to 20 times brighter than Europium that significantly increases the detection sensitivity in assays such as the exploration of cell surface receptors.

Features of donor cryptate. a. Structure of cryptate trisbipyridine (TBP). Lambda max absorption: 305nm, molar extinction coefficient at 305nm: 30000 M-1 cm-1, molar extinction coefficient 337nm: 4500 M-1 cm-1. b. Detection wavelengths for Europium and Terbium cryptate. Both Europium and Terbium have emission spectra at 620 nm so that these signals can be used as reference for data analysis.

The first acceptor developed for HTRF was XL665, a phycobiliprotein pigment purified from red algae []. XL665 is a large heterohexameric edifice of 105 kDa, cross-linked after isolation for better stability and preservation of its photophysical properties in HTRF assays []. Unlike fluorescein, it is fully compatible with Eu cryptates. It is red-shifted and its emission is more likely to be away from possible medium and compound interference. The second-generation acceptor, d2, possesses a series of photophysical properties very similar to those of XL665 but is characterized by organic structures 100 times smaller than XL665. As a much smaller entity, d2 limits the steric hindrance problems sometimes suspected in XL665 based TR-FRET systems. These near-infrared acceptors are also particularly suited for homogeneous assays since their emission is less likely to be disturbed by intrinsic medium or compound autofluorescence arise in the typical compound screen process. The properties of these red acceptors also make them suitable for coupling with Terbium cryptate. Moreover, due to additional peaks in its emission spectrum, Terbium cryptate can be coupled with green acceptors such as fluorescein, emitting in the 520 nm range that may for instance allow designing multiplex assays with two readouts.

HTRF emissions are measured at two different wavelengths, 620nm (donor) and 665nm (acceptor). This feature is extremely advantageous, particularly for reducing well-to-well variations that may arise in homogeneous assay formats. Because wells contain a range of compounds and/or medium additives, each well will have different photophysical properties and cause varying degrees of signal interference and therefore altered signal intensities. This well-to-well signal variation is not due to true differences in light transition, but it can lead to misleading results if only a single emission wavelength is measured. A unique ratio-metric measurement of two emission wavelengths (patent US 5,527,684 and foreign equivalents) corrects for well-to-well variability and signal quenching from assay components and medium variability. Emissions at 620nm (donor fluor) are used as an internal reference while emissions at 665nm (acceptor fluor) are used as an indicator of the biological reaction being assessed. Because both the 620nm and 665nm emissions are decreased by sample interferences, the ratio remains unchanged (Fig. 44). In addition, the ratiometric readout can minimize the system errors caused by liquid handling instruments and detectors.

The specific signal at 665 nm may be affected by light transmission. The ratio (i.e. 665nm/620 nm) will normalize the signal measured and generate a variable that is independent of the optical properties of the medium in which the interaction is studied. In the case shown above, the 665 nm fluorescence decreases proportionally to the transmission, whereas the ratio corrects this interference and is equivalent in both situations.

HTRF ASSAY APPLICATIONS

GPCR Investigation and Screening

GPCRs have offered a broad playfield to HTRF development and the assays that have been described may be segmented into two categories: functional assays and mechanistic assays. Functional assays have been based on the quantification of secondary messengers, whose concentration correlates tightly to events occurring at the cell surface receptor level, such as ligand binding. They are part of a signaling cascade that may be blocked by specific inhibitors to enable their accumulation in the cell.

Cyclic AMP has long been used as a secondary messenger, as its production results from the up or down regulation of adenylate cyclase upon Gs and Gi-coupled receptor activity. The HTRF assay was developed based on the detection on cAMP (Fig. 55). On the other hand, Gq-coupled receptors activate the phospholipase C pathway (PLC), which acts upstream to the inositol phosphate cascade. Thus far, the main readout consisted of the detection of calcium release triggered by IP3, one on the cascade’s metabolites. The assessment of IP3 as a potential secondary messenger has been hampered by its extreme instability, as no inhibitor of the cascade is known to block its degradation. The measurement of total inositol phosphate metabolites by radioactive uptake translates receptor activity well, however, these methods are far from being HTS-friendly. Recently, Trinquet et al. demonstrated that inositol-1-phosphate, a sub-metabolite of the same pathway, could be accumulated in the cell in the presence of Lithium Chloride, an agent inhibiting downstream phosphatases []. Similarly to cAMP assay development, the generation of specific high affinity monoclonal antibodies have enabled the optimization of the HTRF IP-One assay [, 8].

cAMP assay principle. In this competitive assay, an anti-cAMP antibody is labeled with a cryptate donor and cAMP is labeled with acceptor d2. Once both of them are place together, the binding of antibody to cAMP brings donor and acceptor into proximity range. Upon the excitation of donor at 337 nm, the energy is transferred from donor to acceptor. Donor and acceptor generate emission at 620 nm and 665 nm, respectively. In the cAMP assay, the level of free cAMP generated by the signal cascade can be measured by competing with the cAMP d2 for antibody binding. IP-One assay from HTRF has the similar principle.

The application of HTRF to functional detection of GPCRs has been illustrated for many receptors including 5HT4 and 5HT6 [,], BLT1 and cysLT1 leukotriene receptors [], canabinoid receptors [,], H1, 2 and 3 receptors [,], PTH receptor [], PACAP and PAR1 [,] and a number of orphan receptors such as GPR22, 30 or 109 [-]. The assay system allows several advantages over existing methodologies. First, the robustness of the chemistry makes it suitable for most cell-based experimental procedures, allowing the direct measurement of the cell lysate in the presence of cell culture medium [8, 23]. Second, these assays are capable of being highly miniaturized, making them particularly adaptable to HTS [,]. Third, the cellular accumulation of secondary messengers has proven advantages over more transient readouts such as calcium flux for instance. As recently demonstrated, the identification of slow-acting compounds on Gq-coupled targets via IP1 assessment (unpublished data) confirm more general previous findings suggesting the potential for the IP-One assay to be used as an orthogonal screening method []. Finally, Jean et al. have recently shown that the sensitivity of these methodologies could enable the detection of these secondary messengers in rat native cerebral tissues []. In a recent communication, Trinquet et al. have also demonstrated how the detection of two secondary messenger could be multiplexed (unpublished data) thereby offering a way to detect simultaneously different signal mediations from the same GPCR. Taking advantage of the fact that the new Lumi4-Tb donor can be associated with different acceptors, and using V2 and M1 receptors, cAMP was run as a fluorescein assay while IP1 detection was performed with the standard d2 near-infrared dye. Both assays could be run and detected in the same well using the same cellular material and confirmed receptor responses for both pathways upon agonist stimulation.

Calibrar Filizola Pl 150 2016

The second field of application of HTRF methods was developed with the emergence of new concepts around receptor organization at the cell surface. Upon increasing evidence that a large number of receptors oligomerize at the cell surface to mediate intracellular signaling, researchers have started to develop methodologies that enable the detection of such rearrangements. These mechanistic studies have first been undertaken with antibodies specific to receptors or to encoded tags, and several groups have been able to investigate, among others, the way A1-A2 receptors assemble and permit adenosine to modulate glutamatergic neurotransmission [], how BILF1 and chemokine receptor oligomerization may contribute to the alteration of the immune response [], or mGlu and GABA receptors organization at the cell surface [,]. We will further discuss the receptor oligomerization in the section of Protein-Protein/Protein-Peptide/Protein-DNA Interaction Assays. Because the use of conjugated antibodies is sometimes limiting, new labeling techniques based on suicide enzyme technologies like SNAP-tag were applied to address the same receptor mechanistics. Maurel et al. [] have used specific HTRF fluorophore-labeled benzyl guanine substrates to covalently label SNAP-encoded GABA receptors and investigate their organization at the cell surface. These recent optimizations and findings preclude a new field of application for HTRF applied to receptor investigation, particularly for ligand binding and receptor trafficking.

Kinase Assays

HTRF technology has been applied to a number of enzymatic activity assays, such as kinases, proteases, ubiquitination, etc. There are two major formats for HTRF in these assays, a “sandwich” format to measure the signals generated from the status change of a labeled substrate, such as phosphorylation and cleavage by proteases; and a competition format to monitor the other products generated in the reactions, such as ADP production in the kinase assays (Fig. 66).

The comparison of “sandwich” assay and competition assay. a. “Sandwich” assay. HTRF signals are generated through the energy transfer from donor to acceptor that are labeled on the antibodies recognizing the target at different regions. b. Competition assay. Targets generated through biological events compete binding activity to the donor labeled antibody with the target labeled with acceptor so that the decrease of the HTRF signals are measured.

Serine/Threonine Kinase Assays

Protein kinases are key elements in intracellular signaling pathways that control many physiological processes and the activities of protein kinases are altered in a number of human diseases such as cancer and autoimmune disorders [-]. The rapidly growing interest in kinases as potential targets for therapeutic intervention has prompted the development of many kinase assay technologies. HTRF-based tools for HTS could apply to all kinases, with specific applications for Tyrosine (Tyr) and Serine/Threonine (Ser/Thr) kinases. This kinase screening platform offers the ability to use a single technology for both universal and specific kinase assays, saving valuable development time and cost (Fig. 77). A comprehensive review summarized the recent literatures and meeting reports on HTRF kinase assay [].

Kinase assay principle. The substrates used in HTRF kinase assays are tagged by fusion proteins, peptides, or biotin. An antibody to these proteins or peptides, or streptavidin (for biotin in this case) is labeled with acceptor. An antibody against phosphorylated substrate is labeled by donor cryptate. In the enzymatic reaction, once substrate is phosphorylated, donor and acceptor can be brought into proximity by affinity interactions of antibodies/substrate or streptavidin/biotin.

HTRF KinEASE is a universal and sensitive assay allowing for profiling and HTS of a large range of Ser/Thr kinases. This platform consists of three different biotinylated substrates and a single proprietary monoclonal anti-phospho antibody labeled with Eu3+ cryptate recognizing only the phosphorylated substrates, and streptavidin-XL665. Each peptide has a common C-terminal phospho-serine epitope with three different N-terminal sequences allowing access to a large range of kinases. FRET signals are generated once the monoclonal antibody binds to the phosphorylated serine in the biotinylated peptide that in turn is bound to streptavidin-XL665. It is highly likely that many more kinases will phosphorylate one or more of the three peptides. Using this universal kinase activity detection tool and other more specific substrates, numerous assay systems have been successfully built to monitor protein kinase activity with purified enzymes, as well as with cellular lysates and membrane preparations, including COT [], AKT [], and Rock II []. Recently a cellular Ser/Thr-kinase platform was developed by co-expression of targeted kinases with a generic peptide substrates followed by quantification of phosphorylation on intracellular substrate by HTRF []. Although the development of this platform is still in the early stage, the proof-of principle assays were shown that activity of cellular AKT, B-RAF and CamK2δ could be detected and IC50 could be measured []. To date, this KinEASE screening platform has been validated on over 160 kinases.

Tyrosine Kinase Assays

Based on the same monoclonal antibody principle as HTRF KinEASE, HTRF KinEASE TK was developed to measure tyrosine kinase activity [39]. Compared to the well-known universal tyrosine kinase substrates, poly(GT) and poly (GAT), the TK substrate has shown vast flexibility in assay design without sacrificing assay performance and its single phosphorylation site makes kinetic determinations such as Km apparent easily investigated []. The application of HTRF on tyrosine kinases have been demonstrated in many reports, including Lck [], FGF receptor [], c-kit [], c-Met [], IGF-1R [], KDR (kinase insert domain receptor (a type III receptor tyrosine kinase)) [], and Tie2 []. So far, at least 59 unique tyrosine kinases have been validated by the HTRF KinEASE TK platform.

In contrast to the above sandwich format, HTRF Transcreener ADP is a universal and flexible assay for profiling and HTS of all kinases and ATPases using a competition format. This homogeneous, non-radioactive competition assay measures the generation of ADP (Adenosine 5’-diphosphate), which is directly detected by a specific anti-ADP antibody labeled with Eu3+ cryptate, and correlates tightly with the amount of phosphorylated substrate. Because the assay measures ADP and not the substrate itself, it is compatible with any substrate. The enzyme-free detection system also provides an alternative with less interference and a lower false positive rate than assays whose detection systems involve the use an enzyme to measure ATP depletion. The HTRF Transcreener ADP assay is particularly suitable when measuring difficult kinases for which no anti-phospho-specific antibody is available.

Other Enzyme Assays

HTRF has been used to measure the activity of heparanase []. Heparanase functions as an enzyme cleaving heparan sulfate proteoglycan to release growth factors and plays an important role in tissue invasion by malignant tumor cells and inflammatory cells. In this assay, biotinylated heparan sulfate proteoglycan labeled with Europium cryptate served as the substrate for heparanase. Heparanase activity resulting in substrate cleavage by murine melanoma cell extracts was detected by measuring the HTRF signal after addition of streptavidin-XL665. Subsequently, a rapid process for screening large numbers of samples can be established by the HTRF Heparanase assay.

Ubiquitination is one of the major post-translational modifications that proteins regularly undergo prior to degradation in the proteosome. The ubiquitin pathway is associated with many pathologies such as cancer, muscle atrophy, inflammation, viral infection, and metabolic and neurodegenerative disorders. Ubiquitination is carried out by the conjugation of ubiquitin to target proteins through the sequential activity of three enzymes: E1, E2 and E3. Poly-ubiquitinated proteins are then subject to degradation by proteasomes. In order to monitor p53 poly-ubiquitination, a HTS assay system using HTRF has been established []. In the ubiquitination reaction, Europium cryptate-labeled ubiquitin is incorporated as poly-ubiquitin chains onto the biotinylated p53 target protein. The assay is stopped by the addition of streptavidin-XL665 in a buffer containing EDTA before being read. The HTRF Ubiquitin assay is robust enough to be used in synthetic compound screening and has almost the same level of sensitivity as that monitored by the scintillation proximity assay (SPA) using 125I-labeled ubiquitin. The HTRF Ubiquitin assay was recently used as a research tool to measure self-ubiquitination of POSH (plenty of SH3s) [].

Protein-Protein/Protein-Peptide/Protein-DNA Interaction Assays

Protein-protein, protein-peptide, and protein/DNA interactions are involved at almost every level of cell function, in surface protein communication (e.g. GPCR dimerization, surface molecule interaction, and receptor-ligand binding), in signal transduction machinery across various biological membranes (e.g. G-protein cascades, kinase/substrate interactions), the regulation of gene expression (e.g. interaction of transcription factors with co-activators or co-repressors and transcription factors with DNA), the packaging of chromatin, etc. Several applications using HTRF in these interactions have been demonstrated to date. The general principle of these assays is very similar. A pair of antibodies against the target proteins or the tags that they are fused to is labeled with the HTRF donor and acceptor fluorophore, respectively. The interaction of target proteins brings the antibodies into close proximity, generating the FRET signal (Fig. 88).

Principle of protein-protein interaction. Antibodies against the desired proteins (CD28 and CD 86 as examples) for interaction or the fused tags on these proteins are labeled with donor and acceptor, respectively. The FRET signals are generated once these proteins interact with each other to bring the labeled antibodies in into proximity.

Cell Surface Protein Interaction

It is well established that membrane receptors may dimerize to regulate the activity of each member of the dimer or to work cooperatively to bind ligand on one receptor while mediating intracellular signaling through the other. In 2004, the Pin lab pioneered the work demonstrating the application of HTRF in studying dimerization of glutamate and γ-aminobutyric acid (GABA) receptors []. In this study, anti-tag (Flag, HA, and 6-His) antibodies labeled with donor Eu cryptate and acceptor AlexaFluor 647 or XL665 were used to generate fluorescent signals. The mechanism of this dimerization was further pursued by HTRF technology []. Recently, the application of HTRF on GPCR oligomerization and receptor-ligand binding was further expanded with SNAP-Tag technology as mentioned above [] (and data not shown). The Pin lab later conducted a series of studies using HTRF to demonstrate the dimerization of other GPCRs, such as metabotropic glutamate-like receptors (mGluR) [,], vasopressin and oxytocin receptors []. Ciruela et al. developed an HTRF assay to measure the heterodimerization of adenosine A1 receptors (A1Rs) and A2A receptors (A2ARs), revealing a more precise modulation of glutamatergic neurotransmission by adenosine []. The human hemagglutinin (HA)-A2AR and Flag-A1R constructs were generated and transiently transfected into HEK cells. The level of heterodimerization of the receptors was reflected through the FRET generated when Eu-labeled anti-Flag antibody and XL665-labeled anti-HA antibody were incubated with these transfected cells [].

In addition to utilizing HTRF to study GPCR dimerization such as the dimerization of orphan GPR50 receptor with MT1 and MT2 melatonin receptors [], many groups have used HTRF technology to study higher order oligomer formation of the Dopamine D2 receptor [], oligomerization of human histamine H4 receptor [], and to determine the function of C-terminal ends of mGluR1 in subunit association []. It has also been used to study chemokine receptors (reviewed by Wang and Norcross []) and the interaction of surface molecules, such as Trail receptor 4 and OX40 [], CD80 and CD28 [], and adhesive molecule Chemokine (C-X3-C motif) ligand 1 (CX3CL1) aggregation []. Moreover, the protein – peptide interaction was demonstrated with HTRF technology in cell surface calreticulin (CRT) and Shared Epitope (SE) from HLA-DR chain [].

Viral Protein Interactions with Human Proteins

Viruses interact with protein machinery in intact cells to propagate in order to maintain functionality in infectious disease and oncology. For example, reverse transcription complex (RTC) is formed by viral genomic RNA associated with viral proteins (including RT) and, presumably, as yet uncharacterized cellular proteins from human immunodeficiency virus type 1 (HIV-1) infected cells. Lemay et al. reported an HTRF assay to confirm the yeast two-hybrid results that nucleocytoplasmic shuttling protein – the RNA-binding protein HuR is the cellular protein in RTC to interact with viral RT []. In 2002, Leblanc et al. showed that SV40-LTAg interacts with p53 by using the antibodies directly against them labeled by Eu cryptate and XL665, respectively []. Another HTRF assay showed that HIV integrase (IN) interacts with SNF5, a subunit of the SWI/SNF chromatin remodeling complex []. Interestingly, Epstein-Barr virus (EBV) BILF1 gene, which is a GPCR, has been shown with HTRF assays to form heterodimers with various chemokine receptors, altering the responsiveness of B lymphocytes to chemokines that is essential for EBV dissemination and/or involved in EBV-induced pathogenesis [].

Protein/DNA Binding Assay

HTRF technology has also been useful in monitoring the interaction of protein/DNA, such as transcription factors binding with their regulatory elements on DNA or RNA. The MutS protein is part of the dam-directed MutHLS mismatch repair pathway in Escherichia coli. By using directly labeled MutS with europium cryptate, Lopez-Crapez et al. have developed an HTRF assay to measure interactions between MutS and mismatched DNA or DNA containing the most common lesion of the anticancer drug cisplatin [].

Biomarker Detection

Monitoring the production of biomarkers is a useful tool for examining aberrant cell signaling processes often associated with diseases in therapeutic areas such as inflammation, metabolism and neuroscience. Understanding the relationship between the production of these downstream signaling products and the upstream effectors of signaling cascades is not only important for mapping the signaling pathways, but is also useful in identifying specific agents of therapeutic value for a particular disease state.

In this light, HTRF has proven a viable technology for constructing assays that can be used to examine the in-vivo production of biomarkers measured in either whole cells or cell supernatants, as well as serve as a platform for monitoring the in-vitro production of biomarkers via the enzymatic modifications of proteins. Such assays typically involve a sandwich or competition format.

Cell based assays employing HTRF to the direct measurement of protein biomarkers have allowed researchers to gain a better understanding of the biology behind signaling processes. Elucidation of signaling pathways and their regulatory mechanisms allows researchers to better identify targets for therapeutic intervention. By applying HTRF assays to directly measure IL-6 and IL-8 production by cells resulting from TNF stimulation, as well as stimulation by other immune stimuli, researchers were able to establish the essential functional role of a regulatory protein, called TMEM9B, in the production of these cytokines [].

HTRF biomarker detection assays can also be used to monitor cellular responses to novel pharmacological substances and screen for potential therapeutic agents in many disease pathways. Two such biomarker detection assays include the measurement of insulin and cortisone. Insulin has been well established as a key regulator in glucose homeostasis. Deficiency of insulin leads to insulin-dependent (type 1) diabetes, whereas abnormal insulin secretion and resistance to insulin action is common in non-insulin-dependent (type 2) diabetes. An HTRF assay for the measurement of insulin has been developed that can be used to quantify both secreted and intracellular insulin. Such an assay has clear utility for the investigation of novel anti-diabetic agents. Researchers used HTRF to measure the insulin response of cells treated with various amounts glucose as well as an agent of potential therapeutic value to ascertain its effectiveness at promoting insulin production []. Other recently published applications of HTRF in cell-based assays have highlighted its utility for monitoring cortisol production in cell cultures. This application was used to characterize and identify inhibitors of the enzyme 11beta-Hydroxysteroid Dehydrogenase Type 1 (11β-HSD1). Inhibition of this target is believed to have therapeutic value in the treatment of type 2 diabetes as well as in metabolic syndrome. Cell-based assays directly measuring cortisol production have been used to monitor the activity of 11β-HSD1 in screening for inhibitors of the cellular enzyme [,].

Utility of these same HTRF biomarker assays has extended into the development of biochemical-based enzyme screens as well, including targets such as prostaglandin E2 synthase and 11β-hydroxysteroid dehydrogenase 1 (11β-HSD1). Recently, the development of an assay to measure the activity of microsomal prostaglandin E2 synthase-1 (mPGES-1) was described in the literature. The authors used an HTRF assay to directly detect prostaglandin E2 formed by the enzyme. This assay proved useful in assessing the activity of the enzyme as well as determining the potency of inhibitors []. Previous methods used for measuring the activity of this enzyme have proven labor intensive. Also, an article was recently published that described a biochemical assay for measuring human 11β-HSD1 activity. In this instance, the authors have applied the HTRF detection of cortisol production to screening for inhibitors of the enzyme contained in human liver microsome fractions []. In another publication, researchers describe the use of the same cortisol measurement kit to monitor 11β-HSD1 activity in order to elucidate the relationship of the cofactor NADPH/NAD+ ratio to the reductase activity of the enzyme []. Understanding the enzyme and cofactor relationship is important for constructing screens to correctly measure for modulators of the different activities.

The assays described above highlight just some of the quantitative biomarker assays that have been developed using HTRF. Other examples of HTRF biomarker assays developed include: cGMP, histamine, IL-2, IL-17, estradiol, Leukotriene B4 (LTB4) and Amyloid β 1-40.

In addition to drug discovery applications, investigative applications of the quantification of biomarkers with HTRF have allowed researchers to examine the clinicopathology of diseases such as vascular dementia. By measuring the levels of Amyloid-β in brain samples from diseased individuals vs. age-matched controls, researchers were able to identify a link between the presence of these proteins and vascular dementia [].

Bioprocess

In addition to its broad applications in investigation of new drug targets, HTRF shows other niches, such as monitoring the manufacturing of biotherapeutics to insure safety and quality. Antibodies are of interest in their potential for therapeutic use and a significant portion of new drugs stem from the biopharmaceutical industry. The compatibility of HTRF technology with cell culture media and other biological materials makes it applicable in the quantification of human antibodies and Fc fragments/human Fc-tagged chimeras. HTRF bioprocess assays are a highly sensitive and cost-effective alternative to automated systems and other methods used to screen for positive clones and high-producing clones during the antibody engineering and selection process [75]. The Human MAb assay is a competitive immunoassay for the measurement of all isotypes of human IgGs and Fc-tagged proteins. The assay utilizes an antibody specific to human Fc IgGs conjugated to europium cryptate and human IgG conjugated to XL665. The assay is run with a minimal number of additions: a sample of the antibody being assayed is titred into 96-, 384-, or 1536-well assay plates followed by the addition of detection reagents and then allowed to incubate at room temperature for 2 hours before being read.

Additionally, HTRF may be used to quantify and/or detect the presence of tagged protein during protein production and through each step of the purification process. The assay for GST- or 6HIS-tagged proteins is similar to that of the Human MAb assay. It is a competitive immunoassay in which an anti-tag antibody is coupled to europium cryptate and GST or 6HIS-peptide is coupled to XL665. The tagged fusion protein competes with the XL665 conjugate for binding to the anti-tag-cryptate conjugate and the signal is inversely proportional to the concentration of tagged fusion protein.

Most bioprocess ELISA assays can be easily converted to a no-wash, one-step HTRF assay. HTRF can be applied in several other ways to increase productivity in a bioprocess research facility, for instance, through monitoring cellular impurities which play a role in immunotoxicity [76].

CONCLUSION

HTRF is widely used in drug discovery and HTS. Even though this technology is extremely sensitive, versatile, and well adapted to automation for HTS, intrinsic limitations also exist, for example, quenching generated by external interactions with the intramolecular excitation process (electron transfer, FRET, and bleaching) and fluorescence of library compounds or biological proteins. It is our experience that the results obtained by using fluorescent techniques that do not use ratiometric measurement and/or time resolution should be carried out and validated with great care in order to avoid false positive or negative results.

Recently alternative methods were developed to measure the second messenger accumulation. However, classical HTRF applications on other cell signaling process such as phosphorylation, proteolysis, ubiquitination, and glycosylation, remain irreplaceable. The different photophysical properties of Terbium cryptate and its compatibility with not only red acceptors but also green acceptors open new doors to multiplexing with HTRF. Moreover, ligand-binding assays that are selective for cell-surface receptors run more efficiently with Terbium than Europium cryptates (unpublished data). Most recently, the introduction of Terbium cryptate and SNAP-Tag into the HTRF portfolio broadens HTRF applications, for instance, by allowing to study receptor dimerization, receptor mechanistics (internalization and dimerization), and by providing a non-radioactive alternative to ligand binding assays on whole, live cells [].

Footnotes

150

Additional information for HTRF assays and other related reagents can be found on the web at www.HTRF.com.

Lumi4® is a trademark of Lumiphore Inc.

HTRF KinEASETM is developed with Millipore.

HTRF TranscreenerTM ADP assay is licensed from BellBrook Lab.

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Articles from Current Chemical Genomics are provided here courtesy of Bentham Science Publishers
Published online 2014 Jan 29. doi: 10.1186/1471-2431-14-25
PMID: 24476029
This article has been cited by other articles in PMC.

Abstract

Background

Nonalcoholic fatty liver disease (NAFLD) is a disorder associated with excessive fat accumulation, mainly in the intra-abdominal region. A simple technique to estimate abdominal fat in this region could be useful to assess the presence of NAFLD, in obese subjects who are more vulnerable to this disease. The aim of this cross-sectional study was to verify the reliability of waist circumference and body composition variables to identify the occurrence of NAFLD in obese children and adolescents.

Methods

Sample was composed of 145 subjects, aged 11 to 17 years. Assessments of waist circumference (WC), trunk fat mass (TFM) and fat mass (FM) by dual-energy X-ray absorptiometry (DXA) and ultrasound for diagnosis of NAFLD and intra-abdominal adipose tissue (IAAT) were used. Correlation between variables was made by Spearman’s coefficients; ROC curve parameters (sensitivity, specificity, area under curve) were used to assess the reliability of body composition variables to assess the presence of NAFLD. Statistical significance was set at 5%.

Results

Significant correlations were observed between NAFLD and WC (p = 0.001), TFM (p = 0.002) and IAAT (p = 0.001). The higher values of area under the ROC curve were for WC (AUC = 0.720), TFM (AUC = 0.661) and IAAT (AUC = 0.741).

Conclusions

Our findings indicated that TFM, IAAT and WC present high potential to identify NAFLD in obese children and adolescents.

Keywords: Body composition, Obesity, Fatty liver, Children, Adolescents

Background

Obesity is considered a multifactorial disease and, usually, results from positive energy balance, influenced by endogenous and exogenous factors []. Several metabolic disorders are associated with obesity, such as nonalcoholic fat liver disease (NAFLD) characterized by accumulation of fat in the hepatocyte [].

Subjects with high amount of abdominal fat present the lipolytic activity of adipocyte more activated, leading to a higher liberation of free fatty acids [,] in the portal venous system, and, as result, the liver is more exposed to a high amount of fat which can increase the risk of NAFLD in five to six times [].

The use of appropriate methods to estimate body fat and diagnose NAFLD is extremely important []. The NAFLD diagnosis may be made by several methods, such as liver biopsy and liver enzymes function and ultrasound as an imaging technique [].

An ultrasound of the abdominal region is a practical, reliable and economic technique to diagnose NAFLD [], and, additionally, allows the measurement of intra-abdominal fat thickness [9]. Besides, the central adiposity can be estimatedby other methods, such as the dual-energy X-ray absorptiometry (DEXA) [] which presents high correlation with intra-abdominal adipose tissue (IAAT) and can be used as indicator of metabolic diseases, including insulin resistance and dyslipidemia, and, consequently, NAFLD [,].

According to Koning et al. []. some anthropometric measurements, including abdominal and waist circumferences, can contribute to estimate IAAT, and be useful in the diagnosis of NAFLD, with some advantages such as easy applicability, low cost and the nonrequirement of specialized training.

Thus, the aim of the present study was to verify the reliability of waist circumference and body composition variables to identify the occurrence of NAFLD in obese children and adolescents.

Methods

Participants and setting

This crossectional study was developed in the city of Presidente Prudente, located in the state of São Paulo, Brazil. The participants were invited, through media advertisement (newspaper, television and internet). The inclusion criteria were: (i) Be obese, classified according to the recommendations published by Cole et al. [], (ii) Aged between 11 and 17 years at the time of initial evaluation, (iii) Do not present any clinical problem that influence physical activity practice, and (iv) Informed consent form signed by the parents and/or guardians. A total of 145 subjects met these criteria and composed the sample. This research was approved by the Ethics Committee of FCT/UNESP (Protocol number: 07/2009).

Anthropometry

Body mass was measured with a Filizola electronic scale electronic scale (precision 0.1 kg) (Filizzola PL 150, Filizzola Ltda) and the height with a wall-mounted stadiometer [precision 0.1 cm (Sanny®, São Paulo, Brazil)]. The waist circumference (WC) was measured at lowest circumference between the superior border of the iliac crest and below the lowest rib with a inelastic tape [precision 0.1 cm (Sanny®, São Paulo, Brazil)], with the subjects in standing position, breathing normally and with arms relaxed beside the trunk. The record was made at the end of a normal expiration.The All anthropometric measurements were made following the recommendations proposed by Lohman et al. [15]. The calculation of body mass index (BMI) was performed by the equation: body mass (Kg)/height2 (m) [].

Dual energy X-Ray absorptiometry

Body composition was estimated by a Dual-energy X-ray absorptiometry (DEXA) scanner (Lunar DPX-NT; General Electric Healthcare, Little Chalfont, Buckinghamshire), with software version 4.7. The method estimated the body composition by fractionating the body into three anatomical compartments: fat-free mass (FFM), fat mass (FM) and bone mineral content. The assessment was carried out in approximately 15 minutes, and the subjects remained still and in a supine position throughout the scan, wearing light clothes. The results of fat-free mass (FFM), fat mass (FM) and trunk fat mass (TFM) were expressed in kilograms and percentage. All DEXA measurements were carried out at the University laboratory in a controlled temperature room. The DEXA equipment was calibrated each morning, before the beginning of the measurements, by the same researcher, according to the references provided by the manufacturer.

Nonalcoholic fatty liver disease

The ultrasound examination of the upper abdomen was used to identify the presence of NAFLD. The diagnostic criteria were: (i) Absence: normal echogenicity and (ii) Presence: alteration of the fine echoes, visualization of diaphragm and intra hepatic vessel borders according to Saadeh et al []. All examinations were performed by the same qualified radiologist, using a TOSHIBA Eccocee having a convex transducer of 3.7 Mhz. All subjects followed the recommendation of fastting for 4 hours prior to evaluation according to medical literature.

Intra-abdominal adipose tissue

The IAAT was measured by ultrasound examination, using a TOSHIBA Eccocee, with convex transducer of 3.7 Mhz 1 cm above the umbilical scar. The IAAT was defined as the distance between the skin and external face of the rectus abdominal muscle, and visceral fat was defined as the distance between the internal face of the same muscle and the anterior wall of the aorta previously described by Ribeiro-Filho et al. [].

Statistical analysis

The Kolmogorov-Smirnov test was used to verify the distribution of variables. The non-parametric descriptive statistics for numeric variables were expressed as median and interquartile range (IQR). Spearman’s correlation coefficients were used to assess potential relationship between variables, and the ROC curve parameters (sensitivity, specificity, area under curve [AUC] predictive positive value [PPV] and predictive negative value [PNV]) were used to verify the characteristics of the independent variables. All analyses were performed using BioEstat software (release version 5.0) and the statistical significance was set at p-value <5%.

Results

The general characteristics of subjects are described by gender in Table 1. Weight, height, BMI, WC, FM and IAAT presented significant differences between genders. The prevalence of NAFLD was 31%, and in the male group was statistically higher than in female.

Table 1

General characteristics of obese children and adolescents, according to gender

MaleFemalep-value
Median (IQR)Median (IQR)
Age (years)13.0 (6.0)13.0(5.0)0.888
Weight (kg)84.4(80.6)73.5(66.8)0.001
Height (cm)163.5(38.3)159.7(35.3)0.001
BMI (kg/cm2)31.2(19.8)29.2(18.4)0.002
WC (cm)95.1(42.0)85.5(45.0)0.001
FM (kg)36.8(44.9)33.6(39.1)0.035
TFM (kg)17.2(21.1)15.9(23.3)0.055
IAAT (cm)4.5(9.4)3.3(7.8)0.001
Categorical variable (n [%])
NAFLD30 (40%)15 (21.4%)0.016

IQR = interquartile range; BMI = body mass index; WC = waist circumference; FM = fat mass; TFM = trunk fat mass; IAAT = intra-abdominal adipose tissue; NAFLD = non-alcoholic fat liver disease; NS = No significant.

Table 2 shows the Spearman’s correlation coefficient where significant relationship between NAFLD and IAAT, WC and TFM were observed.

Table 2

Spearman correlation (r ) between NAFLD, anthropometric and body composition variables in obese children and adolescents (n = 145)

Non-alcoholic fat liver disease
Variablesrp-value
Overall
WC (cm)0.3520.001
TFM (kg)0.2590.002
IAAT (cm)0.3870.001
Male
WC (cm)0.1360.244
TFM (kg)0.1280.271
IAAT (cm)0.3400.003
Female
WC (cm)0.4510.001
TFM (kg)0.3910.001
IAAT (cm)0.3830.001

NAFLD = nonalcoholic fatty liver disease; WC = waist circumference; TFM = trunk fat mass; FM = fat mass; IAAT = intra-abdominal adipose tissue. Game royale 2 download torrent.

The AUC values ranged from 0.661 to 0.741 (WC = 0.720 [AUC95%CI = 0.636-0.804]; IAAT = 0.741 [AUC95%CI = 0.659-0.824]; TFM = 0.661 [AUC95%CI = 0.565-0.757]), and the comparison between WC and IAAT (difference between AUC = 0.023; p-value = 0.701), WC and TFM (difference between AUC = 0.057; p-value = 0.097) and TFM and IAAT (difference between AUC = 0.080; p-value = 0.227), did not show statistical differences.

TheIAAF was used as reference, and the analysis of sensitivity and specificity showed that TFM presented higher specificity and WC higher sensitivity. PPV, and PNV of TFM and WC were similar (Table 3).

Table 3

Sensitivity, specificity and accuracy of body composition variables to diagnostic NAFLD in obese individuals

VariablesSensitivitySpecificityPPVPNV
Overall
WC0.6670.64045.481.0
TFM0.7330.54041.881.8
IAAT0.7560.61046.584.8
Male
WC0.5670.60051.656.1
TFM0.5330.53742.144.3
IAAT0.6000.60046.148.2
Female
WC0.7330.70445.257.4
TFM0.5330.61126.743.1
IAAT0.4000.83340.183.3

PPV = predictive positive value; PNV = predictive negative value; WC = waist circumference; TFM = trunk fat mass; IAAT = intra-abdominal adipose tissue; NAFLD = non-alcoholic fat liver disease; IAAT = intra-abdominal adipose tissue.

Discussion

The aim of the present study was to verify the reliability of anthropometric and body composition variables thatcould be used to identify the occurrence of NAFLD in obese children and adolescents. The prevalence of NAFLD was 31% for all samples. Male presentedhigher prevalence (40%) than girls (28.0%). Similar results were observed by Nadeau et al. [] that found high prevalence of NAFLD in adolescents (74%) and reported that the NAFLD is more common in male and Hispanic subjects. Denzer et al. [] also found similar prevalence in boys (41.1%) and girls (17.2%) aged 8 to 19 years.

The presence of NAFLD plays an important role in the development of other unhealthy outcomes. Subjects with high amounts of fat in the liver are more vulnerable to negative effects of oxygen reactive species []. Schwimmer at al. [] showed that overweight children with NAFLD present higher fasting glucose, insulin, total cholesterol, LDL-cholesterol, triglycerides and high blood pressure than those without NAFLD. Moreover, NAFLD is strongly associated with metabolic syndrome in pediatric populations [] and is considered the hepatic manifestation of this syndrome in adults [].

Excess of body fat, mainly abdominal fat [25], is related to NAFLD and IAAT is considered a determinant factor to increase prevalence and good predictor to identify the risk for development of NAFLD []. Our studies showed significant correlation between all independent variables and the presence of the NAFLD. Previous studies have reported similar findings for WC [,] and, according to Lin et al. [], the measurement of WC is better than BMI to predict liver steatosis and is considered as a substitute of central obesity assessment.

Our findings also indicated that IAAT and WC were similar predictors of NAFLD and these two measurements are correlated between them []. Therefore, the positive relationships between WC with IAAT and WC with NAFLD indicate that WC is a proxy of the abdominal obesity and, there is a plausible support for the use of this anthropometric measure as indicator of NAFLD in obese pediatric populations.

According to the results of ROC curve, WC and IAAT were the two variables with highest AUC. There were moderate values for sensitivity (ability of WC to identify NAFLD) and specificity (ability of WC to diagnose the absence NAFLD) of adolescents. PPV and PNV support our hypothesis that WC is a more specific than sensitive index. In a previous epidemiologic study with Korean adults aged 20 to 88 years, the authors compared the usefulness of obesity indices, measured by computed tomography, DEXA and WC to identify NAFLD. They concluded that WC was a good predictor of IAATand usefull for diagnosing NAFLD []. Our results indicate similar findings, and suggest the use of WC measurement, in school settings, to identify children and adolescents at risk of NAFLD.

Previous studies presented WC cutoff for adults (89 cm for men and 84 cm for women) to indicate higher risk of NAFLD [], however, for children and adolescents only one study was found in the literature that provides cutoff for WC which use percentile values as a tool to assess the impact of abdominal adipose tissue as risk factor for chronic diseases in terms of public health, but this study did not refer that it can these cut-off can be applied to assess the risk to develop NAFLD [].

One of the limitations of the present study is the use of only one diagnostic method of NAFLD, thus the double-diagnostic would enrich our results [].

Conclusions

We concluded that body composition variables measured by anthropometry and DEXA, may be used as indicators of NAFLD in children and adolescents. Our findings point out that WC could be an interesting tool to identify children and adolescents at increased risk of NAFLD, but further efforts should be focused in the development of age-adjusted cutoffs for these populations.

Abbreviations

NAFLD: Nonalcoholic fat liver disease; DEXA: Dual-energy X-ray absorptiometry; IAAT: Intra-abdominal adipose tissue; FFM: Fat-free mass; FM: Fat mass; WC: Waist circumference; BMI: Body mass index; TFM: Trunk fat mass; IQR: Interquartile range; AUC: Area under curve; PPV: Predictive positive value; PNV: Predictive negative value.

Competing interests

The authors declare that they have no competing of interests.

Authors’ contributions

PAM participated in the design of the study, was the main responsible for collection, analysis and interpretation of data, and also drafting the manuscript; BMMA carried out the Dual energy X-ray absorptiometry involved in analysis and interpretation of data and drafted the manuscript. LSS carried out the immunoassays and also in critical revision of the paper; carried out the immunoassays and also in critical revision of the paper; DGDC participated in the design of the study and reviewed the manuscript. RAF participated in the design of the study and performed the statistical analysis. IFFJ conceived the study and critically revised the manuscript. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

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