Complex behaviours of AB model describing idiotypic network

A simple chemical model of the idiotypic network of immune systems, namely the AB model, has been developed by De Boeret al. The complexity of the system, such as the steady states, periodic oscillations and chaotic motions, has been examined by the authors mentioned above. In the present paper, the periodic motions and chaotic behaviours exhibited by the system are intuitively described. To clarify in which parameter domains concerned the system exhibits periodic oscillations and in which parameter domains the system demonstrates chaotic behaviours the Lyapounov exponent is explored. To characterize the strangeness of the attractors, the fractal dimension problem is worked out.     

Anti-idiotype induction therapy: anti-CA125 antibodies (Ab3) mediated tumor killing in patients treated with Ovarex mAb B43.13 (Ab1)

 Intravenous injection of the murine monoclonal anti-CA125 antibody B43.13 (Ovarex: Ab₁) into ovarian cancer patients led to the induction of an idiotypic network. Of the 75 patients who received one to ten injections of a 2-mg dose of the antibody, 48 developed anti-(mAb B43.13) antibodies (Ab₂); 18 of these patients also had elevated levels of anti-[anti-(mAb B43.13)] antibodies (Ab₃; = anti-CA125 antibodies) compared to pre-injection values. Characterization of these antibodies revealed that the binding to CA125 could be inhibited by mAb B43.13 in most samples. Human anti-CA125 antibodies or Ab₃ purified from patient serum samples specifically recognized human ovarian tumor cells and tissues expressing CA125. In addition, these anti-CA125 antibodies were able to conduct F_c-mediated tumor cell killing (antibody-dependent cell-mediated cytotoxicity). This raises the possibility of using an Ab₁ for anti-idiotype induction immunotherapy of cancer. Received: 14 October 1997 / Accepted: 9 January 1998     

New cell line development for antibody-producing Chinese hamster ovary cells using split green fluorescent protein

Background

The establishment of high producer is an important issue in Chinese hamster ovary (CHO) cell culture considering increased heterogeneity by the random integration of a transfected foreign gene and the altered position of the integrated gene. Fluorescence-activated cell sorting (FACS)-based cell line development is an efficient strategy for the selection of CHO cells in high therapeutic protein production.

Results

An internal ribosome entry site (IRES) was introduced for using two green fluorescence protein (GFP) fragments as a reporter to both antibody chains, the heavy chain and the light chain. The cells co-transfected with two GFP fragments showed the emission of green fluorescence by the reconstitution of split GFP. The FACS-sorted pool with GFP expression had a higher specific antibody productivity (q _Ab) than that of the unsorted pool. The q _Ab was highly correlated with the fluorescence intensity with a high correlation coefficient, evidenced from the analysis of median GFP and q _Ab in individual selected clones.

Conclusions

This study proved that the fragment complementation for split GFP could be an efficient indication for antibody production on the basis of high correlation of q _Ab with reconstitution of GFP. Taken together, we developed an efficient FACS-based screening method for high antibody-producing CHO cells with the benefits of the split GFP system.     

Theoretical studies of clonal selection: minimal antibody repertoire size and reliability of self-non-self discrimination.

Viewing the immune system as a molecular recognition device designed to identify “foreign shapes”, we estimate the probability that an immune system with N_Ab monospecific antibodies in its repertoire can recognize a random foreign antigen. Furthermore, we estimate the improvement in recognition if antibodies are multispecific rather than monospecific. From our probabilistic model we conclude: (1) clonal selection is feasible, i.e. with a finite number of antibodies an animal can recognize an effectively infinite number of antigens; (2) there should not be great differences in the specificities of antibody molecules among different species; (3) the region of a foreign molecule recognized by an antibody must be severely limited in extent; (4) the probability of recognizing a foreign molecule, P, increases with the antibody repertoire size N_Ab; however, below a certain value of N_Ab the immune system would be very ineffectual, while beyond some high value of N_Ab further increases in N_Ab yield diminishing small increases in P; (5) multispecificity is equivalent to a modest increase (probably less than 10) in the antibody repertoire size N_Ab, but this increase can substantially improve the probability of an immune system recognizing a foreign molecule.Besides recognizing foreign molecules, the immune system must distinguish them from self molecules. Using the mathematical theory of reliability we argue that multisite recognition is a more reliable method of distinguishing between molecules than single site recognition. This may have been an important evolutionary consideration in the selection of weak non-covalent interactions as the basis of antigen-antibody bonds.     

Superiority of the use of a pre-incubated complex of primary and second antibody in the radioimmunoassay of thyroid hormones

We report on the superiority of a radioimmunoassay (RIA) system wherein the second antibody (Ab₂) is incorporated as a pre-incubated complex with the primary antibody (Ab₁) for the assay of haptens like triiodothyronine (T₃) and thyroxine (T₄). Separation of the antibody bound and free antigen (Ag) was accomplished by 8% polyethylene glycol (PEG) (final concentration) following a single incubation of less than 1 h. The other advantages of this system are a 15-fold reduction in the quantity of Ab₂ (without any need for increasing the concentration of PEG) and the consequent savings in cost.     

Specificity of the polyclonal antibodies raised against a novel 25-hydroxyvitamin D3-bovine serum albumin conjugate linked through the C-11α position

To obtain a specific antibody for use in 25-hydroxyvitamin D₃ [25(OH)D₃] immunoassay, a novel hapten-carrier conjugate was prepared by coupling 11α-hemiglutaryloxy-25(OH)D₃ with bovine serum albumin (BSA). Three polyclonal antibodies (Ab₁₁) showing high titer and affinity for 25(OH)D₃ (K_a = 0.96−2.6 × 10⁹ M⁻¹) were elicited in rabbits by repeated immunization with the conjugate. Specificity of the Ab₁₁ was investigated by cross-reactivities with 11 related compounds in a radioimmunoassay using a tritium-labeled antigen and compared with that of conventional antibodies (Ab₃) raised against 25(OH)D₃ 3-hemiglutarate conjugated with BSA. The Ab₃ could not discriminate the A-ring modified metabolites [1,25(OH)₂D₃ (87–290%) and 25(OH)D₃ 3-sulfate (S) (130–180%)], although the cross-reactivities with the side chain modified metabolites were satisfactorily low [24,25(OH)₂D₃ (2.3–7.4%), 25(OH)D₂ (1.1%)]. On the contrary, the Ab₁₁ easily discriminated 1,25(OH)₂D₃ (0.10–2.4%) and 25(OH)D₃ 3S (<0.3%), whereas significant cross-reactivities were found with 24,25(OH)₂D₃ (110–120%) and 25,26(OH)₂D₃ (66–130%) having a dihydroxylated side chain. These results show that the Ab₁₁ are complementary to the A-ring portion of the 25(OH)D₃ molecule which is opposite from the side chain structure recognized by the Ab₃. Thus, the Ab₁₁ will compensate for insufficient specificity of the Ab₃ and are expected to be a useful tool for the pretreatment of biological samples in the development of various analyses of vitamin D metabolites including specific 25(OH)D₃ immunoassays using the Ab₃.     

Estimation of relative antibody affinity at the level of the antibody-secreting cell during maturation of the immune response

The relative affinity of specific antibody secreted by mouse spleen cells following primary immunization with SRBC was estimated by competitive inhibition assay of antibody secreted by PFC as well as by inhibition of observed PFC number. Inhibition of direct and of indirect anti-SRBC plaque assays by the addition of specific antigen (SRBC stromata) gave sigmoid inhibition profiles from which the concentration of antigen required to inhibit 50% of the plaques (PI₅₀) was determined, Alternatively, the sum of the cube of individual plaque diameters (Σd³) provided a measure of total anti-SRBC antibody secreted by PFCs from which the concentration of antigen required to inhibit 50% of the antibody (Ab₅₀) was determined. Ab₅₀, rather than PI₅₀: (a) was a more sensitive measure of inhibition by antigen; (b) decreased following immunization indicating a progressive increase in mean antibody affinity; and (c) correlated with the results of hemolysin transfer experiments, an independent measure of mean affinity of circulating anti-SRBC antibody. From theoretical considerations, estimation of mean antibody affinity requires quantitative analysis of fractional antibody inhibition by antigen. Determination of Ab₅₀, rather than PI₅₀, provides an estimate of bound and of free antibody and therefore should provide a more valid estimate of the relative antibody affinity at the cellular level. Experimentally, utilizing Ab₅₀ analysis, the IgM and IgG responses of C3H mice to immunization with SRBC demonstrated a progressive increase in affinity during maturation of the immune response.     

Deterministic chaos and the first positive Lyapunov exponent: a nonlinear analysis of the human electroencephalogram during sleep

Under selected conditions, nonlinear dynamical systems, which can be described by deterministic models, are able to generate so-called deterministic chaos. In this case the dynamics show a sensitive dependence on initial conditions, which means that different states of a system, being arbitrarily close initially, will become macroscopically separated for sufficiently long times. In this sense, the unpredictability of the EEG might be a basic phenomenon of its chaotic character. Recent investigations of the dimensionality of EEG attractors in phase space have led to the assumption that the EEG can be regarded as a deterministic process which should not be mistaken for simple noise. The calculation of dimensionality estimates the degrees of freedom of a signal. Nevertheless, it is difficult to decide from this kind of analysis whether a process is quasiperiodic or chaotic. Therefore, we performed a new analysis by calculating the first positive Lyapunov exponent L ₁ from sleep EEG data. Lyapunov exponents measure the mean exponential expansion or contraction of a flow in phase space. L ₁ is zero for periodic as well as quasiperiodic processes, but positive in the case of chaotic processes expressing the sensitive dependence on initial conditions. We calculated L ₁ for sleep EEG segments of 15 healthy men corresponding to the sleep stages I, II, III, IV, and REM (according to Rechtschaffen and Kales). Our investigations support the assumption that EEG signals are neither quasiperiodic waves nor a simple noise. Moreover, we found statistically significant differences between the values of L ₁ for different sleep stages. All together, this kind of analysis yields a useful extension of the characterization of EEG signals in terms of nonlinear dynamical system theory.     

Idiotypic networks incorporating T-B cell co-operation. The conditions for percolation

Previous work was concerned with symmetric immune networks of idiotypic interactions amongst B cell clones. The behaviour of these networks was contrary to expectations. This was caused by an extensive percolation of idiotypic signals. Idiotypic activation was thus expected to affect almost all (greater than 10(7] B cell clones. We here analyse whether the incorporation of helper T cells (Th) into these B cell models could cause a reduction in the percolation. Empirical work on idiotypic interactions between Th and B cells however, would suggest that two different idiotypic Th models should be developed: (1) a Th which recognises native B cell idiotypes, i.e. a non-MHC-restricted "ThId" model, and (2) a "classical" MHC-restricted helper T cell model. In the ThId model, the Th-B cell interaction is symmetric. A 2-D model of a Th and a B cell clone that interact idiotypically with each other accounts for various equilibria (i.e. one virgin and two immune states). Introduction of antigen does indeed lead to a state switch from the virgin to the immune state; such a system is thus able to "remember" its exposure to antigen. Idiotypic signals do however, percolate in ThId models via these "B-Th-B-Th" pathways: proliferating Th and B cell clones that interact idiotypically, will always activate each other reciprocally. In the MHC-restricted Th model, Th-B interactions are asymmetric. Because the B cell idiotypes are processed and subsequently presented by MHC molecules, the Th receptor and the native B cell receptor are not expected to be complementary. Thus the Th and the B cells are unable to activate each other reciprocally, and a 2-D Th-B cell model cannot account for idiotypic memory. In contrast to the ThId model, idiotypic activation cannot percolate via "B-Th-B-Th" interactions. Due to the assymmetry idiotypic activation stops at the first Th level. A Th clone cannot activate a subsequent B cell clone: if the B cells recognise the Th cells, they see idiotype but get no help; if the Th cells see the B cells, the B cells are helped but see no idiotype. The percolation along "B-B-B" pathways in these two models is next analysed. Two B cells clones, each helped by one Th clone, are connected by a symmetric idiotypic interaction. It turns out that in both models the second (i.e. anti-idiotypic) B cells (B2) never proliferate.(ABSTRACT TRUNCATED AT 400 WORDS)     

On the existence and the role of chaotic processes in the nervous system

Chaos theory is a rapidly growing field. As a technical term, “chaos” refers to deterministic but unpredictable processes being sensitively dependent upon initial conditions. Neurobiological models and experimental results are very complicated and some research groups have tried to pursue the “neuronal chaos”. Babloyantz's group has studied the fractal dimension (d) of electroencephalograms (EEG) in various physiological and pathological states. From deep sleep (d=4) to full awakening (d>8), a hierarchy of “strange” attractors paralles the hierarchy of states of consciousness. In epilepsy (petit mal), despite the turbulent aspect of a seizure, the attractor dimension was near to 2. In Creutzfeld-Jacob disease, the regular EEG activity corresponded to an attractor dimension less than the one measured in deep sleep. Is it healthy to be chaotic? An “active desynchronisation” could be favourable to a physiological system. Rapp's group reported variations of fractal dimension according to particular tasks. During a mental arithmetic task, this dimension increased. In another task, a P300 fractal index decreased when a target was identified. It is clear that the EEG is not representing noise. Its underlying dynamics depends on only a few degrees of freedom despite yet it is difficult to compute accurately the relevant parameters. What is the cognitive role of such a chaotic dynamics? Freeman has studied the olfactory bulb in rabbits and rats for 15 years. Multi-electrode recordings of a few mm² showed a chaotic hierarchy from deep anaesthesia to alert state. When an animal identified a previously learned odour, the fractal dimension of the dynamics dropped off (near limit cycles). The chaotic activity corresponding to an alert-and-waiting state seems to be a field of all possibilities and a focused activity corresponds to a reduction of the attractor in state space. For a couple of years, Freeman has developed a model of the olfactory bulb-cortex system. The behaviour of the simple model “without learning” was quite similar to the real behaviour and a model “with learning” is developed. Recently, more and more authors insisted on the importance of the dynamic aspect of nervous functioning in cognitive modelling. Most of the models in the neural-network field are designed to converge to a stable state (fixed point) because such behaviour is easy to understand and to control. However, some theoretical studies in physics try to understand how a chaotic behaviour can emerge from neural networks. Sompolinsky's group showed that a sharp transition from a stable state to a chaotic state occurred in totally interconnected networks depending on the value of one control parameter. Learning in such systems is an open field. In conclusion, chaos does exist in neurophysiological processes. It is neither a kind of noise nor a pathological sign. Its main role could be to provide diversity and flexibility to physiological processes. Could “strange” attractors in nervous system embody mental forms? This is a difficult but fascinating question.     

Localized memories in idiotypic networks

The present paper investigates conditions under which immunological memory can be maintained by stimulatory idiotypic network interactions. The paper was motivated by the work of (De Boer & Hogeweg, 1989b, Bull. math. Biol. 51, 381-408.) which claimed that idiotypic memory is not possible because of percolation within the network. Here we reinvestigate the issue of percolation using both the previous model and a simpler one (Weisbuch, 1990, J. theor. Biol. 143, 507-522.) that allows analytic analysis. We focus on network topologies in which each Ab1 is connected to several Ab2s, which in turn are connected to several Ab3s. It is demonstrated that, for a considerable range of parameters, both models account for the existence of localized memory-states in which only the Ab1 and the Ab2 clones are activated and the clones of the Ab3 level remain virgin. The existence of localized memory-states seems to contradict the previous percolation result. This discrepancy will be shown to depend on the system dynamics. By simulation we explore the parameter regimes for which one finds percolation and those for which localized memory-states exists. We show that the conditions required for attaining the localized memory-state are considerably more stringent than those required for its existence and local stability. We conclude that both localized memory and percolation are possible in stimulatory idiotypic networks.     

An individual-based model for competingDrosophila populations

An individual-based model forDrosophila is formulated, based on competition amongst larvae consuming the same batch of food. The predictions of the model are supported by data for single speciesDrosophila populations reared in the laboratory. The model is used to build a simple discrete model for the dynamics ofDrosophila populations that are kept over a number of generations. The dynamics of a single species is shown to give either a stable equilibrium or fluctuations which can be periodic or chaotic. When the dynamics of a species in the absence of the other is periodic or chaotic, we found coexistence or two alternative states, on neither of which the species can coexist.     

Antibody-directed enzyme prodrug therapy (ADEPT)

Antibody-directed enzyme prodrug therapy (ADEPT) has been studied in a human ovarian carcinoma xenograft grown subcutaneously in nude mice. Radioimmunoassay of supernatants obtained from tumor homogenates showed these to contain carcinoembryonic antigen (CEA). Biodistribution studies with¹²⁵I-labeled monoclonal anti-CEA antibody, A5B7, and its F(ab′)₂ fragment showed localization in these xenografts. The AB57-F(ab′)₂ fragment conjugated to a bacterial enzyme, carboxypeptidase G2 (CPG2), and, radiolabeled with¹²⁵iodine, also localized in the xenografts. The radiolabeled conjugate cleared from blood faster than the antibody alone. The percentage of injected dose per gram in tumor at 24 h postinjection was about fivefold lower than antibody alone. Tumor-to-blood ratio at 72 h after injection of the radiolabeled conjugate was 7 and the tumor-to-normal tissue ratios at this time point ranged from 20 (liver) to 75 (colon). A three-phase ADEPT antitumor study was carried out in which A5B7-F(ab′)₂-CPG2 was allowed to localize and was followed by accelerated inactivation/clearance of blood CPG2 by a galactosylated anti-CPG2 antibody (SB43gal). A benzoic acid mustard-derived prodrug was injected 24 h after the conjugate, which led to growth delay in this tumor compared to the control untreated group. Further antitumor studies in this model are in progress.     

Inheritance and expression of the cry1Ab gene in Bt ( Bacillus thuringiensis) transgenic rice

The inheritance and expression patterns of the cry1Ab gene were studied in the progenies derived from different Bt (Bacillus thuringiensis) transgenic japonica rice lines under field conditions. Both Mendelian and distorted segregation ratios were observed in some selfed and crossed F₂ populations. Crosses between japonica intra-subspecies had no significant effect on the segregation ratios of the cry1Ab gene, but crossing between japonica and indica inter-subspecies led to distorted segregation of the cry1Ab gene in the F₂ population. Field-release experiments indicated that the cry1Ab gene was stably transmitted in an intact manner via successive sexual generations, and the concentration of the Cry1Ab protein was kept quantitatively stable up to the R₆ generation. The cry1Ab gene, driven by the maize ubiquitin promoter, displayed certain kinds of spatial and temporal expression patterns under field conditions. The content of the Cry1Ab protein varied in different tissues of the main stems, the primary tillers and the secondary tillers. Higher levels of the Cry1Ab protein were found in the stems, leaves and leaf sheaths than in the roots, while the lowest level was detected in grains at the maturation stage. The content of the Cry1Ab protein in the leaves peaked at the booting stage and was lowest at the heading stage. Furthermore, the Cry1Ab content of cry1Ab expression in different tissues of transgenic rice varied individually with temperature. Received: 17 April 2001 / Accepted: 7 May 2001     

Micro-phase separation and configuration of ABC triblock copolymer in ultra-thin film by Monte Carlo simulation

A Monte Carlo simulation using the bond fluctuation and cavity diffusion algorithms was adopted to investigate the micro-phase separation of ABC triblock copolymer in ultra-thin film on simple cubic lattice. Simulations reveal that the morphologies of ABC copolymer films are dependent on not only the volume fraction of the middle block B (f _B) but also on the ratio of interaction between different kinds of blocks (?_(AC)/?_(AB)). As for the molecular orientation, the copolymers stretch parallel to the flat surface at lower f _B, but tend to align perpendicularly along z direction at higher f _B. Furthermore, the chain configuration was discussed in detail. Smaller ?_(AC)/?_(AB) is beneficial to the formation of a “loop” configuration, whereas, larger ?_(AC)/?_(AB) would result in a “bridge” configuration of ABC triblock copolymer chains. The formation of micro-phase structures was illustrated intuitively by the molecular orientation and the chain configuration.     

An efficient algorithm for identifying primary phenotype attractors of a large-scale Boolean network

Background

Boolean network modeling has been widely used to model large-scale biomolecular regulatory networks as it can describe the essential dynamical characteristics of complicated networks in a relatively simple way. When we analyze such Boolean network models, we often need to find out attractor states to investigate the converging state features that represent particular cell phenotypes. This is, however, very difficult (often impossible) for a large network due to computational complexity.

Results

There have been some attempts to resolve this problem by partitioning the original network into smaller subnetworks and reconstructing the attractor states by integrating the local attractors obtained from each subnetwork. But, in many cases, the partitioned subnetworks are still too large and such an approach is no longer useful. So, we have investigated the fundamental reason underlying this problem and proposed a novel efficient way of hierarchically partitioning a given large network into smaller subnetworks by focusing on some attractors corresponding to a particular phenotype of interest instead of considering all attractors at the same time. Using the definition of attractors, we can have a simplified update rule with fixed state values for some nodes. The resulting subnetworks were small enough to find out the corresponding local attractors which can be integrated for reconstruction of the global attractor states of the original large network.

Conclusions

The proposed approach can substantially extend the current limit of Boolean network modeling for converging state analysis of biological networks.

     

Simulation of chaotic EEG patterns with a dynamic model of the olfactory system

The main parts of the central olfactory system are the bulb (OB), anterior nucleus (AON), and prepyriform cortex (PC). Each part consists of a mass of excitatory or inhibitory neurons that is modelled in its noninteractive state by a 2nd order ordinary differential equation (ODE) having a static nonlinearity. The model is called a KO_e or a KO_t set respectively; it is evaluated in the open loop state under deep anesthesia. Interactions in waking states are represented by coupled KO sets, respectivelyKI _e (mutual excitation) andKI _i (mutual inhibition). The coupledKI _e andKI _i sets form aKII set, which suffices to represent the dynamics of theOB, AON, andPC separately. The coupling of these three structures by both excitatory and inhibitory feedback loops forms aKIII set. The solutions to this high-dimensional system ofODEs suffice to simulate the chaotic patterns of the EEG, including the normal low-level background activity, the high-level relatively coherent bursts of oscillation that accompany reception of input to the bulb, and a degenerate state of an epileptic seizure determined by a toroidal chaotic attractor. An example is given of the Ruelle-Takens-Newhouse route to chaos in the olfactory system. Due to the simplicity and generality of the elements of the model and their interconnections, the model can serve as the starting point for other neural systems that generate deterministic chaotic activity.Supported by a grant MH06686 from the National Institute of Mental Health     

Modeling the adaptive immune response in HBV infection

The aim of this work is to investigate a new mathematical model that describes the interactions between Hepatitis B virus (HBV), liver cells (hepatocytes), and the adaptive immune response. The qualitative analysis of this as cytotoxic T lymphocytes (CTL) cells and the antibodies. These outcomes are (1) a disease free steady state, which its local stability is characterized as usual by R ₀ < 1, (2) and the existence of four endemic steady states when R ₀ > 1. The local stability of these steady states depends on functions of R ₀. Our study shows that although we give conditions of stability of these steady states, not all conditions are feasible. This rules out the local stability of two steady states. The conditions of stability of the two other steady states (which represent the complete failure of the adaptive immunity and the persistence of the disease) are formulated based on the domination of CTL cells response or the antibody response.     

Effects of boron deficiency and calcium supply on the calcium metabolism in tomato plant

Summary Tomato plants were grown in water-culture with a different supply of Ca (10, 100 ppm) and B (0, 0.2 ppm), and the effects of B deficiency on the translocation and subcellular distribution of Ca in tomato plants were studied by using⁴⁵CaCl₂ as a carrier of Ca. Boron deficiency slight increased the total Ca uptake by the plant and inhibited the Ca translocation to the upper leaves. The incorporation of⁴⁵Ca into the cell wall in the upper leaves was increased by B deficiency at both Ca levels. As Ca supply decreased, the distribution of⁴⁵Ca in the 1N NaCl fraction of the cell wall increased only at 0.2 ppm B. As B supply decreased, the distribution of⁴⁵Ca in the 0.6N HCl fraction increased at both Ca levels. These results suggest that B deficiency inhibit the translocation of Ca, and induce the abnormal changes of the Ca metabolism in the cell wall.     

基于微纳技术的循环肿瘤细胞免疫检测新方法北大核心CSCD

本研究旨在探索一种高灵敏度、高特异性检测循环肿瘤细胞(circulating tumor cells, CTCs)的免疫检测新方法,以尽早地检出结直肠癌,提高该疾病的检出率。首先制备含有线性微柱结构的微芯片,通过在其表面孵育氧化石墨烯-链霉亲和素(graphite oxide-streptavidin, GO-SA)及偶联广谱一抗(antibody1, Ab₁),即上皮特异性黏附分子(epithelial cell adhesion molecule, EpCAM)单克隆抗体以捕获CTCs。运用羧基化多壁碳纳米管(carboxylated multi-walled carbon nanotubes, MWCNTs-COOH)与结直肠癌相关抗体,即特异性二抗(antibody 2, Ab₂)偶联制备抗体复合物。在捕获CTCs的微芯片上孵育该抗体复合物,构建以Ab₁-CTCs-Ab₂为主体的超级三明治结构,通过电化学工作站检测并验证其高灵敏度和高特异性。结果发现,在免疫传感器的构建中结合应用微纳技术,极大地提高了CTCs的检测灵敏度和特异性。本研究验证了该免疫传感器应用于临床血样检测的可行性,并通过该免疫传感器对结直肠癌患者外周血中CTCs进行检测和计数。结果表明,基于微纳技术的超级三明治式免疫传感器为CTCs的检测提供了新的途径,对临床工作中的疾病诊断及病情实时监控方面均具有潜在的应用价值。